Applying CLIR Techniques to Event Tracking

Abstract. Cross-lingual event tracking from a very large number of information sources (thousands of Web sites, for example) is an open challenge. In this paper we investigate effective and scalable solutions for this problem, focusing on the use of cross-lingual information retrieval techniques to translate a small subset of the training documents, as an alternative to the conventional approach of translating all the multilingual test documents. In addition, we present a new variant of weighted pseudo-relevance feedback for adaptive event tracking. This new method simplifies the assumption and the computation in the bestknown approach of this kind, yielding a better result than the latter on benchmark datasets in our evaluations.

• Type: Conference
• Year: 2004
• Where: AIRS
• Authors: Nianli Ma, Yiming Yang, Monica Rogati
• Keywords: AIRS 2004, Cross-lingual Event Tracking, Event Tracking, Information Retrieval, Multilingual Test Documents